ArticleSports (Basel, Switzerland)2016
Modelling the Progression of Male Swimmers' Performances through Adolescence.
Article in Sports (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Annual Performance Progression in Swimming Across Competition Levels and Race Distances.Journal of functional morphology and kinesiology · 2025Article
- Talent Identification: Time to Move Forward on Estimation of Potentials? Proposed Explanations and Promising Methods.Sports medicine (Auckland, N.Z.) · 2025Review
- Impact of athletic profiles and the relative age effect on the future achievement levels of young basketball players.Frontiers in sports and active living · 2025Article
- Skateboarding's Olympic journey: do the performance profiles of top athletes remain consistent?Frontiers in physiology · 2025Article
- Article
- Analysis of the fastest backstroke age group swimmers competing in the World Masters Championships 1986-2024.Scientific reports · 2024Article
- The importance of previous season performance on world-class 200- and 400-m individual medley swimming.Biology of sport · 2022Article
- Article
- Specific and Holistic Predictors of Sprint Front Crawl Swimming Performance.Journal of human kinetics · 2021Article
- Article
- Pacing in World-Class Age Group Swimmers in 200 and 400 m Individual Medley.Frontiers in physiology · 2020Article
- Competition-Based Success Factors During the Talent Pathway of Elite Male Swimmers.Frontiers in sports and active living · 2020Article
- Analysis of World Championship Swimmers Using a Performance Progression Model.Frontiers in psychology · 2019Article
- How Confident Can We Be in Modelling Female Swimming Performance in Adolescence?Sports (Basel, Switzerland) · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Insufficient data on adolescent athletes is contributing to the challenges facing youth athletic development and accurate talent identification. The purpose of this study was to model the progression of male sub-elite swimmers' performances during adolescence. The performances of 446 males (12⁻19 year olds) competing in seven individual events (50, 100, 200 m freestyle, 100 m backstroke, breaststroke, butterfly, 200 m individual medley) over an eight-year period at an annual international schools swimming championship, run under FINA regulations were collected. Quadratic functions for each event were determined using mixed linear models. Thresholds of peak performance were achieved between the ages of 18.5 ± 0.1 (50 m freestyle and 200 m individual medley) and 19.8 ± 0.1 (100 m butterfly) years. The slowest rate of improvement was observed in the 200 m individual medley (20.7%) and the highest in the 100 m butterfly (26.2%). Butterfly does however appear to be one of the last strokes in which males specialise. The models may be useful as talent identification tools, as they predict the age at which an average sub-elite swimmer could potentially peak. The expected rate of improvement could serve as a tool in which to monitor and evaluate benchmarks.
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